Best Hadoop Training in Bangalore

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INNOVATIVE ACADEMY's best Hadoop training institute in Bangalore is designed so Innovative to help you a clear understanding of Hadoop .You will gain an excellent knowledge on Bigdata and Hadoop, HDFS, PIG, HBASE and HIVE.

Overview

Why Hadoop training?

Top MNC is trying to get into Big Data Hadoop hence there is a huge demand for Certified Big Data professionals.

Big Data is fastest growing and most promising technology for handling large volumes of data for doing data analytics

Hadoop Market is Expected to Reach $84.6 Billion, Globally, by 2021

The average salary is $120k for Hadoop developer as per the major job portal.

About Course

Hadoop tutorial will help you to understand the problem with the traditional system while processing Big Data and how Hadoop solves it and will provide you with a brief idea about HDFS, YARN, PIG, HBASE, HIVE and SPARK using examples and practical demonstration.

Why choose Innovative Academy for your Hadoop training?

Experienced technical trainers

Real Time and Hands-on Experience Training

On Time Course Completion & Superb satisfaction scores

Comprehensive curriculum, Innovative & interactive Training

High Pass Rate

Who can take this Training?

This Hadoop Training is constructed for IT pro's who needs to pursue the career in Cloud Industry and become Hadoop developer.

This training is suitable for:

Candidates with basic programming knowledge

professionals from BI( Business Intelligence) background

data warehousing professionals

Graduates looking to build a career in Big Data Analytics

Syllabus

1. Understanding Big Data and Hadoop

Big Data

big data characteristics

types of big data

Examples

applications of big data

challenges with big data

Features

Hadoop Ecosystem

Hadoop 2.x core components

Hadoop Storage: HDFS

Hadoop Processing: MapReduce Framework

Hadoop installation.

2. Hadoop Architecture and HDFS

HDFS

features of HDFS

HDFS architecture

advantage of hdfs

HDFS operations

HDFS commands.

3. Hadoop MapReduce Framework

MapReduce

Traditional way Vs MapReduce way

Why MapReduce

Hadoop 2.x MapReduce Architecture

Hadoop 2.x MapReduce Components

YARN MR Application Execution Flow

YARN Workflow

Anatomy of MapReduce Program

Input Splits

The relation between Input Splits and HDFS Blocks

MapReduce: Combiner & Partitioner

4. Advanced MapReduce

Counters

Distributed Cache

Joins in MapReduce

Custom Input Format

Sequence Input Format

XML file Parsing using MapReduce

5. Pig

About Pig

MapReduce Vs Pig

Pig Use Cases

Programming Structure in Pig

Pig Running Modes

Pig components

Pig Execution

Pig Latin Program

Data Models in Pig

Pig Data Types, Shell and Utility Commands

Pig Latin: Relational Operators

Built-In Functions

6. Hive

Hive Background

Hive Use Case

About Hive

Hive Vs Pig

Hive Architecture and Components

Metastore in Hive

Limitations of Hive

Comparison with Traditional Database

Hive Data Types and Data Models

Partitions and Buckets

Hive Tables (Managed Tables and External Tables)

Importing Data

Querying Data

Managing Outputs

Hive Script

Hive UDF

The retail use case Hive.

7. Advanced Hive and HBase

Hive QL: Joining Tables

Dynamic Partitioning

Custom Map/Reduce Scripts

Hive Indexes and views Hive query optimizers

User Defined Functions

HBase: Introduction

HBase Components

HBase Architecture

Run Modes & Configuration

HBase Cluster Deployment.

8. Advanced HBase

HBase Data Model

HBase Shell

HBase Client API

Data Loading Techniques

Zookeeper Data Model

Zookeeper Service

Demos on Getting and Inserting Data

Filters in HBase.

9. Apache Spark

What is Apache Spark

spark-Architecture

Execution and Related concepts

RDD operations

Functional programming in spark.

10. Apache RDDs in spark

RDD data types and RDD creation

operations in RDDs

RDD optimization techniques introduction

RDD persistence, Exercise and quiz

Duration

Course Curriculum and Duration:

We provide both Class-room Training and Offline Training.

Duration: 50Hrs.

Weekdays (Mon-Fri 2Hrs per day)

Weekend batches (Sat-Sun 4Hrs per day)

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About Us

We are an education corporate pioneering the growth of IT and IMS training. We have been able to set standards by adopting practices based on quality, commitment, and the zeal to make success a habit. We have worked towards becoming quality training provider in the area.